Operational Analytics with WrenAI Spreadsheets and Metrics Library Training Course

Introduction to WrenAI Spreadsheets and the Metrics Library

• Overview of core capabilities and practical use cases
• Distinctions between WrenAI and traditional spreadsheets
• Introductory insights into pre-built metrics

Getting Started with AI-Powered Spreadsheets

• Creating and formatting spreadsheets
• Employing natural language for formulas and queries
• Applying AI assistance to streamline data preparation

Utilizing the Metrics Library

• Examining standardized KPIs across various departments
• Tailoring metrics for RevOps, finance, and marketing
• Best practices for ensuring consistency and accuracy

Data Connectivity and Real-Time Updates

• Linking spreadsheets to databases and SaaS applications
• Streamlining data refresh cycles through automation
• Oversight of permissions and access controls

Operational Reporting Workflows

• Developing recurring reports using templates
• Monitoring cross-functional performance indicators
• Setting up automated alerts and notifications

Visualization and Collaboration

• Generating charts and dashboards from spreadsheet data
• Collaborating with team members in real-time
• Disseminating reports to key stakeholders

Scaling Operational Analytics

• Implementing the metrics library across multiple business units
• Standardizing reporting processes across the enterprise
• Integration with established BI platforms

Advanced Features and Future Capabilities

• Investigating AI-driven forecasting within spreadsheets
• Customizing and expanding the metrics library
• Preview of upcoming features in WrenAI operational analytics

Summary and Next Steps